Review article
Prescribing Cascades: How to Detect Them, Prevent Them, and Use Them Appropriately
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Background: A prescribing cascade is the treatment of an adverse drug reaction (ADR) with another drug. In this review, we discuss (a) the different types of prescribing cascade and (b) the measures that can be taken so that they will be recognized and dealt with appropriately, both in the hospital and in the outpatient setting.
Method: This review is based on pertinent publications retrieved by a selective literature search.
Results: The literature distinguishes intentional from unintentional prescribing cascades, and appropriate from inappropriate ones. We further distinguish prophylactic from therapeutic prescribing cascades and draw a line between those that are necessary and those that are merely appropriate. The following main questions are essential for dealing with prescribing cascades appropriately: (1) Did the precipitating drug cause a clinically relevant ADR or risk of an ADR? (2) Is the precipitating drug still indicated? (3) Can an ADR be avoided by altering the treatment with the precipitating drug, or by (4) switching to another drug instead? (5) Can the drug used to treat the ADR actually affect it beneficially? (6) Do the benefits of the prescribing cascade outweigh its risks?
Conclusion: Prescribing cascades are not problematic in themselves; on the contrary, they are sometimes a necessary part of good prescribing practice. There is still a lack of practically implementable instruments to help physicians detect prescribing cascades reliably, assess them properly, and put them to appropriate use.
The prescription of drugs is by far the most common medical intervention. However, in addition to positive effects, drugs also cause adverse drug reactions (ADRs). In Germany, they are responsible, at least in part, for approximately 6.5% of all emergency hospital admissions (1). The main risk factor for ADR-related hospitalizations is polypharmacy, that is, the use of five or more drugs (2, 3, e1). Polypharmacy affects approximately 20% of all individuals covered by statutory health insurance and around 40% of over 65-year-olds (e2, e3).
Polypharmacy and ADRs also harbor the risk of what is referred to as prescribing cascades. These occur when a prescribed drug (the precipitating drug) causes an ADR, for the treatment of which a second, subsequent drug is prescribed (4). In turn, the second drug can itself become a precipitating drug and lead to further ADRs. A typical example is the use of diuretics for the treatment of peripheral edema caused by dihydropyridine calcium channel blockers (such as amlodipine) (5). Diuretics, for their part, can interact with other active substances (6) or induce hypokalemia, which is then treated in some cases with a potassium-sparing diuretic. A US study based on data from 2014 estimates that one in 22 patients treated with dihydropyridine calcium channel blockers also received diuretics to treat peripheral edema (e4). In Canada in 2016, this figure was one in 71 patients in the first 90 days (5). Thus, it is possible that prescribing cascades are also an underestimated problem in Germany. The first prescribing cascades were described as early as around 20 years ago (4, 7). Since then, numerous further reports have followed (8, 9, 10, 11, 12), including from Germany (13, 14, 15).
The aim of this review article is to answer two questions:
- Which types of prescribing cascades should be distinguished?
- Which analysis strategies and instruments are helpful in recognizing and appropriately dealing with prescribing cascades in clinical practice?
Methods
We carried out a selective literature search with the search terms “prescribing cascade,” “medication cascade,” “(prescription) sequence symmetry analysis,” and “inappropriate prescribing” in Medline (last update, 13 February 2022) and, once publications had been narrowed down to those after 1990, obtained a total of 3990 hits (eTable). In a first step, we compiled prescribing cascades described in the literature (review articles, commentaries, primary references). From these, and using an iterative approach, we developed a differentiated system to classify prescribing cascades as well as main questions on their management. To illustrate the subtypes of prescribing cascades, we selected what were in our view the most relevant examples for the outpatient treatment setting, conducting further targeted literature searches where necessary to explain these in more detail. Identified instruments that we considered significant in the recognition or prevention of prescribing cascades in both the inpatient and the outpatient setting were compiled in tabular form.
Results
Spectrum and classification of prescribing cascades
Previous definitions of prescribing cascades differentiated between intentional and unintentional as well as appropriate and inappropriate prescribing cascades (16, 17). We propose additional distinctions between prophylactic versus therapeutic prescribing cascades, and between necessary and merely appropriate prescribing cascades. We discuss the reasons for this in the following sections.
Intentional versus unintentional prescribing cascades
In the case of intentional prescribing cascades, an ADR is recognized and the second drug is intentionally used to treat this ADR. In unintentional prescribing cascades, on the other hand, the ADR is interpreted as a new medical condition and the second drug is prescribed without first considering the relevance of the precipitating drug (17).
Appropriate versus inappropriate prescribing cascades
A prescribing cascade is appropriate if the prescription of a precipitating drug and a second drug, when combined, has a positive benefit–risk balance. It is inappropriate if the benefit–risk balance is negative (17). A prescribing cascade is potentially inappropriate if theoretically more suitable treatment alternatives are available (for example, given that switching the precipitating drug could in principle prevent the ADR), but a patient-specific assessment of the benefit–risk balance is still pending.
Necessary versus appropriate prescribing cascades
This distinction is intended to emphasize the fact that prescribing cascades can be not only appropriate but also even necessary. Prescribing cascades are classified as appropriate if their benefit merely outweighs the risks. Prescribing cascades are necessary if the relative benefit is so great that non-prescription would be inconsistent with appropriate treatment (18). The classification into appropriate versus necessary prescribing cascades ultimately depends on to the extent to which their benefits outweigh their risks. However, this has practical implications. Whereas the non-use of necessary prescription cascades represents undertreatment (and thus their use should be actively recommended), this is not necessarily true for the non-use of merely appropriate prescribing cascades.
Prophylactic versus therapeutic prescribing cascades
Up until now, prescribing cascades have been seen primarily as a response to ADRs. However, second drugs can also be used preventively. For example, proton pump inhibitors (PPI) are prescribed to prevent gastrointestinal ADRs from non-steroidal anti-inflammatory drugs (NSAIDs). The term “prophylactic prescribing cascades” is intended to widen the spectrum of prescribing cascades and, for the first time, give a name to these often necessary prescribing practices.
Recognition and appropriate use of prescribing cascades in the hospital and outpatient setting
One can assume that many prescribing cascades have not yet been described and that many known per se remain unrecognized in everyday routine. The Figure shows six key questions that are relevant in the assessment of prescribing cascades. In the following sections, these questions will be discussed in more details with reference to this schematic representation. Table 1 lists illustrative examples of prescribing cascades.
Does/did the precipitating drug cause or pose a risk for a clinically relevant adverse drug reaction?
A prerequisite for avoiding prescription cascades is to identify a possible association between the precipitating drug and a presenting symptom or finding. The Naranjo score (19) can be helpful to this end. It consists of 10 questions, the answers to which are each assigned a score (Table 2). A score of ≤ 0 suggests the absence of an ADR, and a score of > 4 its presence. No reliable statement can be made in the gray area between 1 and 4.
Accordingly, the probability of an ADR depends, for example, on possible alternative causes, known similar reactions in the patient history, drug levels in the blood, as well as response to discontinuation, resumption, and dose changes of the suspected precipitating drug. However, in individuals with multimorbidity, additional causes are often present, only in exceptional cases are drug levels determined, and similar reactions to similar active substances are often not known. Therefore, determining whether the problem is an ADR often requires discontinuing the suspected precipitating drug or reducing the dose and monitoring the effects. This is particularly the case for adverse events that often have non-pharmacological causes, such as depression or dementia. Furthermore, a consultation with the patient in person is often required in order to obtain important contextual information, for example regarding temporal course and symptom severity (20). Table 1 shows examples of typical, albeit potentially less established or difficult-to-recognize prescribing cascades (21, 22, 23, 24, e6).
Treatment with a second drug should only be considered if an ADR is causing, or has the potential to cause, a relevant impairment to an individual. Otherwise, the prescribing cascade should be classified as at least potentially inappropriate. However, in the case of a severe ADR (e7), or if there is a high risk for one, treatment with second drugs is often necessary. An example of an unequivocally necessary prophylactic prescribing cascade is the prescription of laxatives to prevent constipation due to opioid treatment (12, 25, e8). An example of an unequivocally necessary therapeutic prescribing cascade is the prescription of metronidazole or oral vancomycin for pseudomembranous enterocolitis (26, e9), which can be induced by, for example, broad-spectrum antibiotics. Further examples can be found in Table 1 (12, 15, 25, 26, 27, 28, e10, e11, e12, e13, e14, e15).
Is the precipitating drug still indicated?
Some precipitating drugs are unquestionably indicated, such as analgesics for cancer pain or diuretics in advanced heart failure. Other precipitating drugs should be classified as potentially inappropriate medications (PIMs) since they often have an unfavorable benefit–risk balance in older patients. In the last 10 years, a number of lists identifying missing drugs and PIMs have been created to assist clinicians in their evaluation of the indication for the precipitating drug. A selection and description of these lists can be found in the eTable (25, 29, 30, 31, 32, 33, 34, e16, e17, e18, e19, e20, e21, e22). PIMs primarily include certain psychotropic drugs (such as benzodiazepines due to the increased risk of falls, and tricyclic antidepressants due to their anticholinergic side effects). However, PIMs also include other drugs with sedative and/or anticholinergic effects, substances that can cause orthostatic dysregulation or movement disorders, as well as NSAIDs. Examples of prescribing cascades in which the precipitating drug is a PIM can be found in Table 1 (8, 11, 12, 15, 25, 29, 30, 31, 32).
Can a treatment adjustment of the precipitating drug prevent adverse drug reactions?
If it is not possible to avoid a precipitating drug, one should determine in a first step whether, if necessary, ADRs can be prevented or mitigated by reducing the dose or changing the mode of use. An example would be the use of corticosteroid inhalersbefore food, rinsing out the oral cavity after use, or using spacers to prevent oral thrush. Further examples can be found in Table 1 (23, 35, 36, e24, e25, e26).
Can switching the precipitating drug prevent adverse drug reactions?
In some cases, ADRs can be resolved by switching the precipitating drug for similarly effective active substances with the same indication. Examples include the use of domperidone instead of metoclopramide to prevent extrapyramidal movement disorders (11, 12, 15, 30) and switching ACE inhibitors for angiotensin receptor blockers to prevent dry cough (8, 11, 12, 15, e29).
Can the second drug have a beneficial effect on adverse drug reactions?
If the use of a precipitating drug is essential and ADRs cannot be avoided or the risk of serious ADRs is high, the last resort is permanent treatment or prophylaxis, where appropriate. However, there are also non-pharmacological measures to be considered. For example, lifestyle interventions may be introduced to avoid the use of antidiabetic drugs while taking antipsychotics (e28). Added to this is the fact that not all symptoms can be effectively treated with drugs. For example, diuretics are not suitable for the treatment of peripheral edema caused by dihydropyridine-type calcium channel blockers (5, e30, e31). Further examples can be found in Table 1 (8, 11, 12, 15, 36, e30, e31, e32, e33, e34, e35).
If the prescription of effective second drugs is indicated to treat acute but transient symptoms (for example, antiemetics at the beginning of opioid treatment), care must be taken to ensure that these drugs are also discontinued when the precipitating drug is discontinued. However, in some cases, longer-term administration of a second drug is necessary, such as PPI for the prevention of gastrointestinal complications in individuals with gastrointestinal risk profiles who require permanent antiplatelet therapy. Here, the minimum effective dose should be prescribed (for PPIs, the semi-therapeutic dose) to minimize ADRs from the second drug (such as the development of osteoporosis) (25).
Is the benefit–risk balance of the prescribing cascade positive?
It is often not possible in clinical practice to unequivocally answer main questions 1–5 (Figure). For example, the distinction between pharmacological/non-pharmacological causes of an adverse event is not always straightforward (see main question 1). Therefore, whether in such cases a prescription cascade is to be classified as appropriate/necessary or inappropriate requires a patient-specific consideration of the benefits and risks.
The individual benefit–risk balance depends not only on the indication and evidence of effectiveness but also on patient-specific factors such as age, comorbidity, life expectancy, and personal preferences. An example here would be prescribing cascades caused by NSAIDs (8, 11, 12, 15, 38). Despite the risks associated with the use of NSAIDs, many patients with osteoarthritis or lower back pain complain of the inadequate efficacy of alternative analgesics (e34). In a physician–patient discussion, one must then jointly consider whether these drugs and the ADRs, or risk thereof, caused by second drugs (PPI, antihypertensive drugs) can and should be accepted in order to maintain quality of life. Although prescription cascades precipitated by NSAIDs (and other PIMs) should therefore be classified as potentially inappropriate, they may nevertheless be appropriate or even necessary in light of a patient-specific benefit–risk assessment.
Approaches to identifying new prescribing cascades
The prevention and detection of prescribing cascades can be supported by systematically identifying and reliably communicating new prescribing cascades that are relevant in practice. Three methods have been used for this to date (9): case reports, retrospective observational studies based on administrative prescription databases, and an approach that uses social media.
Case reports
Case reports are spontaneously published by interested clinicians. Case reports have the advantage that a causal relationship between precipitating drug, ADR, and second drug can be established with a high degree of probability by intensively studying clinical circumstances and alternative causes in the individual case. However a disadvantage is that their publication is voluntary. Case reports can therefore only yield an incomplete picture of new prescribing cascades and do not allow any statement regarding their incidence.
Retrospective observational studies in administrative prescription databases
Compared to case reports, retrospective observational studies based on administrative prescription data represent a systematic approach to identifying new prescribing cascades. In addition to traditional cohorts and case control studies, more and more so-called prescription symmetry sequence analyses (PSSA) have been carried out in the last 10 years (10). The principle of PSSA is based on testing the hypothesis that in a given study population, the new prescription of a precipitating drug followed by a second drug (for example, acetylcholinesterase inhibitors → antiepileptic drugs [29]) occurs more frequently in this order than in the reverse order (for example, antiepileptic drugs → acetylcholinesterase inhibitors). Using PSSA, signals of possible prescribing cascades can be efficiently generated. However, since the administrative data sources used to this end typically contain only limited information on other confounding factors, there is a high risk of incorrect signals. Therefore, further studies are often needed to verify prescribing cascades detected in this way.
Social media data
In an original and novel approach, Twitter and other Internet platforms were used to generate signals of new prescribing cascades (39). This data pool also contains reports on experiences with non-prescription drugs that are typically not included in administrative databases. In addition, signals can be generated more quickly than in administrative databases. In a feasibility study, this data mining concept was able, firstly, to detect two known prescribing cascades: NSAID → hypertension → antihypertensive drugs and ACE inhibitors → dry cough → antitussive agents; and secondly, it was able to identify previously unknown prescribing cascades that seemed plausible to the authors since they confirmed previously identified associations between precipitating drugs and ADRs, for example, trazodone → hypertension → prazosin.
Conclusions
Implications for clinical practice
Numerous prescribing cascades have already been described in the literature. A differentiated consideration of these shows, on the one hand, that unintentional and avoidable prescription cascades must be prevented more effectively in order to reduce unnecessary polypharmacy and its associated risks. On the other hand, prescribing cascades may be part of good prescribing practice and necessary for a positive benefit–risk balance in the overall treatment approach. One can also assume that many prescribing cascades have yet to be detected and that with the use of novel drugs, new ADR profiles will emerge (for example, checkpoint inhibitors) that lead to new prescribing cascades.
Implications for research
It has been shown that it is important to further develop current approaches for the systematic identification of previously undetected prescribing cascades and enable a better distinction between clinically relevant prescription cascades and spurious signals in which the prescription of a second drug has no causal relationship to the prescription of the precipitating drug. A systematic review compiles currently known prescribing cascades (40).
The extended classification system for prescribing cascades proposed here can provide a theoretical framework to classify the identified prescribing cascades into appropriate, necessary, and potentially inappropriate prescribing cascades. This can be used to develop practically implementable, potentially electronic instruments, aiming to alert physicians to both potentially inappropriate and potentially omitted prescribing cascades.
Conflict of interest statement
Prof. Dreischulte received funding from the Techniker Krankenkasse to compile information materials on drug therapy. He received research funds from the German Research Foundation, the German Ministry of Education and Research (BMBF), and the German Innovation Fund. He received fees for expert opinions from the German Innovation Fund.
Prof. Muth receives royalties as co-editor of the book „Praxishandbuch Multimorbidität.“ She received funding from the BMBF and the German Innovation Fund for a research project of her own initiation.
Prof. Haefeli received financial support from ABF Pharmaceutical Services, Amgen GmbH, Acerta Pharma, Bayer AG, BioNTech AG, Bristol-Myers Squibb, Celgene GmbH, Genentech Inc, Gilead Sciences, GlaxoSmithKline, Heidelberg; ImmunoTherapeutics (HDIT), Immunocore Ltd, INCYTE Inc, Janssen Germany, Molecular Partners, MorphoSys AG, MYR GmbH, Neurimmune AG, Novartis AG, Roche, AG, Sumaya Biotech GmbH, Vaccibody A.S., and 4SC AG. He received fees for consulting services from Dr. Wilmar Schwabe, Chiesi GmbH, and Daiichi Sankyo.
Prof. Schmidl receives consultancy fees from Biocon Limited, Bangalore, India. He received funding for the preparation of continuing medical education events from Daiichi Sankyo.
Faiza Shahid declares that no conflict of interest exists.
Manuscript received on 2 May 2022, revised version accepted on
11 August 2022.
Translated from the original German by Christine Rye.
Corresponding author
Prof. Dr. Tobias Dreischulte, MSc PhD
Institut für Allgemeinmedizin
Klinikum der Ludwig-Maximilians-Universität München
Campus Innenstadt
Pettenkoferstraße 10
80336 München
tobias.dreischulte@med.uni-muenchen.de
Cite this as
Dreischulte T, Shahid F, Muth C, Schmiedl S, Haefeli WE: Prescribing cascades: how to detect them, prevent them, and use them appropriately. Dtsch Arztebl Int 2022; 119: 745–52. DOI: 10.3238/arztebl.m2022.0306
►Supplementary material
eReferences, eTable:
www.aerzteblatt-international.de/m2022.0306
Institute of General Practice and Family Medicine, University Hospital of Ludwig-Maximilians-University Munich: Prof. Dr. Tobias Dreischulte, PhD MSc; Faiza Shahid, MSc;
Department of General Practice and Family Medicine, Medical Faculty OWL, University of Bielefeld: Prof. Dr. med. Christiane Muth, MPH
Philipp Klee-of Clinical Pharmacology, Helios Clinic Wuppertal; Clinical Pharmacology, Witten/Herdecke University, Witten/Herdecke: Prof. Dr. med. Sven Schmiedl
Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Heidelbergg: Prof. Dr. med. Walter Emil Haefeli
| 1. | Schurig AM, Böhme M, Just KS, et al.: Adverse drug reactions (ADR) and emergencies—the prevalence of suspected ADR in four emergency departments in Germany. Dtsch Arztebl Int 2018; 115: 251–8 VOLLTEXT |
| 2. | Dumbreck S, Flynn A, Nairn M, et al.: Drug-disease and drug-drug interactions: systematic examination of recommendations in 12 UK national clinical guidelines. BMJ 2015; 350: h949 CrossRef MEDLINE PubMed Central |
| 3. | Guthrie B, Makubate B, Hernandez-Santiago V, Dreischulte T: The rising tide of polypharmacy and drug-drug interactions: population database analysis 1995–2010. BMC Medicine 2015; 13: 74 CrossRef MEDLINE PubMed Central |
| 4. | Rochon PA, Gurwitz JH: Optimising drug treatment for elderly people: the prescribing cascade. BMJ 1997; 315: 1096–9 CrossRef MEDLINE CrossRef |
| 5. | Savage RD, Visentin JD, Bronskill SE, et al.: Evaluation of a common prescribing cascade of calcium channel blockers and diuretics in older adults with hypertension. JAMA Intern Med 2020; 180: 643–51 CrossRef MEDLINE PubMed Central |
| 6. | Dreischulte T, Morales DR, Bell S, Guthrie B: Combined use of nonsteroidal anti-inflammatory drugs with diuretics and/or renin-angiotensin system inhibitors in the community increases the risk of acute kidney injury. Kidney Int 2015; 88: 396–403 CrossRef MEDLINE |
| 7. | Rochon PA, Gurwitz JH: Drug therapy. Lancet 1995; 346: 32–6 CrossRef MEDLINE |
| 8. | Kalisch LM, Caughey GE, Roughead EE, Gilbert AL: The prescribing cascade. Aust Prescriber 2011; 34: 162–6 CrossRef |
| 9. | Brath H, Mehta N, Savage RD, et al.: What is known about preventing, detecting, and reversing prescribing cascades: a scoping review. J Am Geriatr Soc 2018; 66: 2079–85 CrossRef MEDLINE |
| 10. | Morris EJ, Hollmann J, Hofer AK, et al.: Evaluating the use of prescription sequence symmetry analysis as a pharmacovigilance tool: a scoping review. Res Social Adm Pharm 2022; 18: 3079–93 CrossRef MEDLINE |
| 11. | Rochon PA, Gurwitz JH: The prescribing cascade revisited. Lancet 2017; 389: 1778–80 CrossRef MEDLINE |
| 12. | Kwan D, Farrell B: Polypharmacy: Optimizing medication use in elderly patients. CGS Journal of CME 2014; 4: 21–7. |
| 13. | Leitliniengruppe Hessen. Hausärztliche Leitlinie Multimedikation 2021. Version 2.00 vom 05.05.2021. AWMF online. https://www.awmf.org/uploads/tx_szleitlinien/053-043l_S3_Multimedikation_2021-08.pdf (last accessed on 23 April 2022). |
| 14. | Moßhammer D, Haumann H, Mörike K, Joos S: Polypharmacy—an upward trend with unpredictable effects. Dtsch Arztebl Int 2016; 113: 627–33 VOLLTEXT |
| 15. | Heppner HJ: Aus eins mach vier. Verordnungskaskaden aufdecken. MMW Fortschr Med 2019; 161: 20–2 CrossRef MEDLINE |
| 16. | Ponte ML, Wachs L, Wachs A, Serra HA: Prescribing cascade. A proposed new way to evaluate it. Medicina 2017; 77: 13–6. |
| 17. | McCarthy LM, Visentin JD, Rochon PA: Assessing the scope and appropriateness of prescribing cascades. J Am Geriatr Soc 2019; 67: 1023–6 CrossRef MEDLINE |
| 18. | Fitch K, Bernstein SJ, Aguilar MD, et al.: The RAND/UCLA appropriateness method user‘s manual. Santa Monica, CA: RAND Corporation; 2001. www.rand.org/content/dam/rand/pubs/monograph_reports/2011/MR1269.pdf (last accessed on 23 April 2022). |
| 19. | Naranjo CA, Busto U, Sellers EM, et al.: A method for estimating the probability of adverse drug reactions. Clin Pharmacol Ther 1981; 30: 239–45 CrossRef MEDLINE |
| 20. | Patel I, Trinh S, Phan T, Johnson M: Prescription cascading in developmentally disabled individuals. Indian J Pharmacol 2016; 48: 334–5 CrossRef MEDLINE PubMed Central |
| 21. | Khalid R, Ibad A, Thompson PD: Statins and myasthenia gravis. Muscle Nerve 2016; 54: 509 CrossRef MEDLINE |
| 22. | Yang H, Choi E, Park E, et al.: Risk of genital and urinary tract infections associated with SGLT-2 inhibitors as an add-on therapy to metformin in patients with type 2 diabetes mellitus: a retrospective cohort study in Korea. Pharmacol Res Perspect 2022; 10: e00910 CrossRef MEDLINE PubMed Central |
| 23. | Adimadhyam S, Schumock GT, Calip GS, Smith Marsh DE, Layden BT, Lee TA: Increased risk of mycotic infections associated with sodium-glucose co-transporter 2 inhibitors: a prescription sequence symmetry analysis. Br J Clin Pharmacol 2019; 85: 160–8 CrossRef MEDLINE PubMed Central |
| 24. | Brandt-Christensen M, Kvist K, Nilsson FM, Andersen PK, Kessing LV: Treatment with antiparkinson and antidepressant drugs: a register-based, pharmaco-epidemiological study. Mov Disord 2007; 2: 2037–42 CrossRef MEDLINE |
| 25. | O‘Mahony D, O‘Sullivan D, Byrne S, O‘Connor MN, Ryan C, Gallagher P: STOPP/START criteria for potentially inappropriate prescribing in older people: version 2. Age ageing 2014; 44: 213–8 CrossRef MEDLINE PubMed Central |
| 26. | Roughead EE, Chan EW, Choi NK, et al.: Proton pump inhibitors and risk of clostridium difficile infection: a multi-country study using sequence symmetry analysis. Expert Opin Drug Saf 2016; 15: 1589–95 CrossRef MEDLINE |
| 27. | Hachiken H, Murai A, Wada K, Kuwahara T, Hosomi K, Takada M: Difference between the frequencies of antisecretory drug prescriptions in users of buffered vs. enteric-coated low-dose aspirin therapies. Int J Clin Pharmacol Ther 2013; 51: 807–15 CrossRef MEDLINE |
| 28. | Venäläinen O, Bell JS, Kirkpatrick CM, Nishtala PS, Liew D, Ilomäki J: Adverse drug reactions associated with cholinesterase inhibitors-sequence symmetry analyses using prescription claims data. J Am Med Dir Assoc 2017; 18: 186–9 CrossRef CrossRef |
| 29. | Pazan F, Weiss C, Wehling M, Forta: The FORTA (Fit fOR The Aged) List 2021: Fourth version of a validated clinical aid for improved pharmacotherapy in older adults. Drugs Aging 2022; 39: 245–7 CrossRef MEDLINE PubMed Central |
| 30. | Holt S, Schmiedl S, Thürmann PA: Potentially inappropriate medications in the elderly: The PRISCUS List. Dtsch Arztebl Int 2010; 107: 543–51 VOLLTEXT |
| 31. | By the 2019 American Geriatrics Society Beers Criteria® Update Expert Panel: American geriatrics society 2019 updated AGS beers criteria® for potentially inappropriate medication use in older adults. J Am Geriatr Soc 2019; 67: 674–94 CrossRef MEDLINE |
| 32. | Seppala LJ, Petrovic M, Ryg J, et al.: STOPPFall (screening tool of older persons prescriptions in older adults with high fall risk): a Delphi study by the EuGMS task force and finish group on fall-risk-increasing drugs. Age ageing 2020; 50: 1189–99 CrossRef MEDLINE PubMed Central |
| 33. | Curtin D, Gallagher P, O‘Mahony D: Deprescribing in older people approaching end-of-life: development and validation of STOPPFrail version 2. Age Ageing 2021; 50: 465–71 CrossRef MEDLINE |
| 34. | Kiesel EK, Hopf YM, Drey M: An anticholinergic burden score for German prescribers: score development. BMC Geriatr 2018; 18: 239 CrossRef MEDLINE PubMed Central |
| 35. | Venäläinen O, Bell JS, Kirkpatrick CM, Nishtala PS, Liew D, Ilomäki J: Adverse drug reactions associated with cholinesterase inhibitors-sequence symmetry analyses using prescription claims data. J Am Med Dir Assoc 2017; 18: 186–9 CrossRef MEDLINE |
| 36. | Henriksen DP, Davidsen JR, Christiansen A, Laursen CB, Damkier P, Hallas J: Inhaled corticosteroids and systemic or topical antifungal therapy: a symmetry analysis. Ann Am Thorac Soc 2017; 14: 1045–7 CrossRef MEDLINE |
| 37. | Woodford HJ: Calcium channel blockers co-prescribed with loop diuretics: a potential marker of poor prescribing? Drugs Aging 2020; 37: 77–81 CrossRef MEDLINE |
| 38. | Bytzer P, Hallas J: Drug-induced symptoms of functional dyspepsia and nausea. A symmetry analysis of one million prescriptions. Aliment Pharmacol Ther 2000; 14: 1479–84 CrossRef MEDLINE |
| 39. | Hoang T, Liu J, Pratt N, et al.: Detecting signals of detrimental prescribing cascades from social media. Artif Intell Med 2016; 71: 43–56 CrossRef MEDLINE |
| 40. | Doherty A, Moriarty F, Boland F, et al.: Prescribing cascades in community-dwelling adults: protocol for a systematic review. HRB Open Res 2021; 4: 72 MEDLINE PubMed Central |
| e1. | Duerden MAA, Payne R: Polypharmacy and medicines optimisation. making it safe and sound. The Kings Fund 2013 https://www.kingsfund.org.uk/sites/default/files/field/field_publication_file/polypharmacy-and-medicines-optimisation-kingsfund-nov13.pdf (last accessed on 23 April 2022). |
| e2. | Grandt DLV, Schubert I: Arzneimittelreport 2018. Schriftenreihe zur Gesundheitsanalyse. Barmer Ersatzkasse 2018 https://www.barmer.de/resource/blob/1027020/b9999fb6ca0a7b98f523c70dbc29c251/barmer-arzneimittelreport-2018-band-10-data.pdf (Last accessed on 12 October 2022). |
| e3. | Güster C, Klose J, Schmacke N (eds.): Versorgungs-Report 2012. Schwerpunkt: Gesundheit im Alter. Stuttgart: Schattauer 2012; 111–30. |
| e4. | Vouri SM, van Tuyl JS, Olsen MA, Xian H, Schootman M: An evaluation of a potential calcium channel blocker-lower-extremity edema-loop diuretic prescribing cascade. J Am Pharm Assoc 2018; 58: 534–9.e4 CrossRef MEDLINE PubMed Central |
| e5. | Read SH, Giannakeas V, Pop P, et al.: Evidence of a gabapentinoid and diuretic prescribing cascade among older adults with lower back pain. J Am Geriatr Soc 2021; 69: 2842–50 CrossRef MEDLINE |
| e6. | Dagytė G, Den Boer JA, Trentani A: The cholinergic system and depression. Behav Brain Res 2011; 221: 574–82 CrossRef MEDLINE |
| e7. | European Medicines Agency (EMA): Clinical safety data management: Definitions and standards for expedited reporting. www.ema.europa.eu/en/documents/scientific-guideline/international-conference-harmonisation-technical-requirements-registration-pharmaceuticals-human-use_en-15.pdf (last accessed on 23 April 2022). |
| e8. | Saha S, Nathani P, Gupta A: Preventing opioid-induced constipation: A teachable moment. JAMA Intern Med 2020; 180: 1371–2 CrossRef MEDLINE |
| e9. | Lübbert C, John E, von Müller L: Clostridium difficile infection—guideline-based diagnosis and treatment. Dtsch Arztebl Int 2014; 111: 723–31 VOLLTEXT |
| e10. | Burkhardt R: CME Fortbildung Pharmakotherapie (Aktualisierte Version 2020): Protonenpumpenhemmer für alle Fälle. www.cme.medlearning.de/medlearning/protonenpumpenhemmer_rez2/pdf/cme.pdf (last accessed on 23 April 2022). |
| e11. | Liu L, Liu S, Wang C, et al.: Folate supplementation for methotrexate therapy in patients with rheumatoid arthritis: a systematic review. J Clin Rheumatol 2019; 25: 197–202 CrossRef MEDLINE |
| e12. | Shea B, Swinden MV, Ghogomu ET, et al.: Folic acid and folinic acid for reducing side effects in patients receiving methotrexate for rheumatoid arthritis. Journal Rheumatol 2014; 41: 1049–60 CrossRef MEDLINE |
| e13. | Hindricks G, Potpara T, Dagres N, et al.: 2020 ESC guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS): The task force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC). Eur Heart J 2020; 42: 373–498 CrossRef MEDLINE |
| e14. | Tisdale JE, Chung MK, Campbell KB, et al.: Drug-induced arrhythmias: a scientific statement from the American Heart Association. Circulation 2020; 142: e214–e33 CrossRef MEDLINE |
| e15. | Chen HY, Albertson TE, Olson KR: Treatment of drug-induced seizures. Br J Clin Pharmacol 2016; 81: 412–9 CrossRef MEDLINE PubMed Central |
| e16. | Wehling M, Burkhardt H, Kuhn-Thiel A, et al.: VALFORTA: a randomised trial to validate the FORTA (Fit fOR The Aged) classification. Age Ageing 2016; 45: 262–7 CrossRef MEDLINE |
| e17. | Mann NK, Mathes T, Sönnichsen A, Niepraschk-von Dollen K, Pieper D, Thürman PA: PRISCUS 2.0 – An update and expansion of the first German list of potentially inappropriate medications. 26th annual meeting of the German drug utilisation research group (GAA); 2019 Nov 21–22; Bonn, Germany. https://www.priscus2-0.de/publikationen.html (last accessed on 23 April 2022). |
| e18. | Rudolf H, Thiem U, Aust K, et al.: Reduction of potentially inappropriate medication in the elderly—results of a cluster-randomized, controlled trial in German primary care practices (RIME). Dtsch Arztebl Int 2021; 118: 875–82 CrossRef MEDLINE PubMed Central |
| e19. | Martin P, Tamblyn R, Benedetti A, Ahmed S, Tannenbaum C: Effect of a pharmacist-led educational intervention on inappropriate medication prescriptions in older adults: The D-PRESCRIBE randomized clinical trial. JAMA 2018; 320: 1889–98 CrossRef MEDLINE PubMed Central |
| e20. | O‘Mahony D, Gudmundsson A, Soiza RL, et al.: Prevention of adverse drug reactions in hospitalized older patients with multi-morbidity and polypharmacy: the SENATOR* randomized controlled clinical trial. Age ageing 2020; 49: 605–14 CrossRef MEDLINE |
| e21. | Campbell AJ, Robertson MC, Gardner MM, Norton RN, Buchner DM: Psychotropic medication withdrawal and a home-based exercise program to prevent falls: a randomized, controlled trial. J Am Geriatr Soc 1999; 47: 850–3 CrossRef MEDLINE |
| e22. | Lee J, Negm A, Peters R, Wong EKC, Holbrook A: Deprescribing fall-risk increasing drugs (FRIDs) for the prevention of falls and fall-related complications: a systematic review and meta-analysis. BMJ Open 2021; 11: e035978 CrossRef MEDLINE PubMed Central |
| e23. | Moga DC, Abner EL, Rigsby DN, et al.: Optimizing medication appropriateness in older adults: a randomized clinical interventional trial to decrease anticholinergic burden. Alzheimers Res Ther 2017; 9: 36 CrossRef MEDLINE |
| e24. | Engelhardt K, Ferguson M, Rosselli JL: Prevention and management of genital mycotic infections in the setting of sodium-glucose cotransporter 2 Inhibitors. Ann Pharmacother 2021; 55: 543–8 CrossRef MEDLINE |
| e25. | Ruangritchankul S, Chantharit P, Srisuma S, Gray LC: Adverse drug reactions of acetylcholinesterase inhibitors in older people living with dementia: a comprehensive literature review. Ther Clin Risk Manag 2021; 17: 927–49 CrossRef MEDLINE |
| e26. | Gani F, Caminati M, Bellavia F, et al.: Oral health in asthmatic patients: a review: Asthma and its therapy may impact on oral health. Clin Mol Allergy 2020; 18: 22 CrossRef MEDLINE PubMed Central |
| e27. | Ward KM, Citrome L: Antipsychotic-related movement disorders: drug-induced parkinsonism vs. tardive dyskinesia-key differences in pathophysiology and clinical management. Neurol Ther 2018; 7: 233–48 CrossRef MEDLINE |
| e28. | Ijaz S, Bolea B, Davies S, et al.: Antipsychotic polypharmacy and metabolic syndrome in schizophrenia: a review of systematic reviews. BMC Psychiatry 2018; 18: 275 CrossRef MEDLINE PubMed Central |
| e29. | Pinto B, Jadhav U, Singhai P, Sadhanandham S, Shah N: ACEI-induced cough: a review of current evidence and its practical implications for optimal CV risk reduction. Indian Heart J 2020; 72: 345–50 CrossRef MEDLINE PubMed Central |
| e30. | Fogari R, Zoppi A, Derosa G, et al.: Effect of valsartan addition to amlodipine on ankle oedema and subcutaneous tissue pressure in hypertensive patients. J Hum Hypertens 2007; 21: 220–4 CrossRef MEDLINE |
| e31. | Weir MR, Rosenberger C, Fink JC: Pilot study to evaluate a water displacement technique to compare effects of diuretics and ACE inhibitors to alleviate lower extremity edema due to dihydropyridine calcium antagonists. Am J Hypertens 2001; 14: 963–8 CrossRef |
| e32. | Gill SS, Mamdani M, Naglie G, et al.: A prescribing cascade involving cholinesterase inhibitors and anticholinergic drugs. Arch Intern Med 2005; 165: 808–13 CrossRef MEDLINE |
| e33. | Welk B, Richardson K, Panicker JN: The cognitive effect of anticholinergics for patients with overactive bladder. Nat Rev Urol 2021; 18: 686–700 CrossRef CrossRef |
| e34. | Silwer L, Petzold M, Hallas J, Lundborg CS: Statins and nonsteroidal anti-inflammatory drugs-an analysis of prescription symmetry. Pharmacoepidemiol Drug Saf 2006; 15: 510–1 CrossRef MEDLINE |
| e35. | Varga Z, Sabzwari SRA, Vargova V: Cardiovascular risk of nonsteroidal anti-inflammatory drugs: an under-recognized public health issue. Cureus 2017; 9: e1144 CrossRef |
| e36. | Chenot JF, Greitemann B, Kladny B, Petzke F, Pfingsten M, Schorr SG: Clinical practice guideline: Non-specific low back pain. Dtsch Arztebl Int 2017; 114: 883–90 CrossRef MEDLINE PubMed Central |
